Why Nuclearn.ai

Nuclearn.ai builds AI-powered software for the nuclear and utility industries—tools that keep critical infrastructure reliable, efficient, and safe. Our software integrates AI-driven workflow, documentation, and research automation, and is already used at 60+ nuclear reactors across North America. You'll ship production code operators and engineers rely on every day.

We're growing quickly, expanding our team and our Phoenix HQ. The work is consequential: what you build helps real plants run safer and smarter.

Eligibility: U.S. citizenship or permanent residency (green card) is required due to DOE export compliance.

What You'll Do

Collaborating closely with customers to understand their unique needs and tailoring AI solutions to meet specific industry challenges, particularly in the nuclear and utility sectors.
Fine-tuning pre-trained language models for customer-specific classification, extraction, and prediction tasks.
Designing, training, and validating custom ML pipelines to address domain-specific problems, ensuring high accuracy and performance in real-world applications.
Implementing and optimizing ML models for deployment in production environments, with a focus on scalability and efficiency.
Partnering with cross-functional teams, including development teams and domain experts, to ensure solutions align with customer workflows and objectives.
Continuously improving models by leveraging customer feedback and incorporating new data.
Driving innovation in the use of AI and ML within the nuclear and utility industries by experimenting with cutting-edge techniques and tools.

What Makes You a Great Fit

Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field
2+ years of experience implementing and deploying machine learning solutions, with at least 1 year of hands-on experience with language models
Strong programming skills in Python and experience with PyTorch
Demonstrated ability to translate technical capabilities into practical solutions
Experience deploying models in production environments

Nice To Have (not Required)

Experience deploying models in production environments
Prior experience working in a startup environment
Knowledge of the nuclear or utility industries

Compensation & Benefits

Benefits: Unlimited PTO, health/dental/vision insurance

Work Model & Schedule

Full-time, salaried
Mon–Fri hybrid (Wed remote); expectation is ≥80% in-office (Phoenix HQ)

How We Hire (fast, Respectful, Practical)

20-min intro with the founder/hiring manager to trade context and assess mutual fit
Practical work sample (60–90 min; a real task in our stack)
Team meet + peer programming (system design + collaboration) We aim to move from first chat to decision quickly.

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Machine Learning Engineer